microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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README & documentation
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ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. Learn more → ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Learn more → The current release and past releases can be found here: https://github.com/microsoft/onnxruntime/releases. For details on the upcoming release, including release dates, announcements, features, and guidance on submitting feature requests, please visit the release roadmap:…
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What this repository does
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Repository facts
- Owner
- microsoft
- Primary language
- C++
- Stars
- 22,209
- Forks
- 4,393
- Open issues + pull requests
- 1,873
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2018-11-10T02:22:53.000Z
- Last push
- 2026-11-01T09:42:30.000Z
Topics and intended use
Owner-supplied topics: ai-framework, deep-learning, hardware-acceleration, machine-learning, neural-networks, onnx, pytorch, scikit-learn, tensorflow
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Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.
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